Is the Metaverse Dead? On-Chain Data Tells a Different Story

insights.glassnodePubblicato 2025-03-09Pubblicato ultima volta 2025-04-07

This is the third article in our series exploring Glassnode’s Cost Basis Distribution (CBD) metric and its practical applications. Previously, we demonstrated how to apply CBD insights across assets and how to identify capitulation events on a CBD heatmap.

For a deeper dive into the methodology and calculations behind this metric, refer to our detailed research piece here.

This week, we introduce another use-case-specific exploration of CBD - analyzing Metaverse tokens. Despite declining prices and fading hype, on-chain data suggests that major investors remain active, steadily accumulating and lowering their cost basis.

Does this signal a long-term bet on a Metaverse resurgence? Let’s first recap how to analyze and interpret CBD data and then apply that knowledge to the latest trends in Metaverse.

Understanding Cost Basis Distribution

Cost Basis Distribution (CBD) tracks where token supply is concentrated based on the average cost basis of holders. By analyzing shifts in supply distribution, we can identify investor behavior - whether they are accumulating, capitulating, or redistributing their holdings.

How to Read CBD Heatmaps:

  • Color Intensity (Supply Distribution)
    A warmer color (red/yellow) indicates a high concentration of supply at a given price range, while cooler colors (blue/green) signal lower supply.
  • Vertical Axis (Cost Basis)
    Each horizontal slice represents a price range where a portion of supply last moved, showing how holders adjust their cost basis over time.

Tracking these changes helps us pinpoint potential market turning points, where accumulation or distribution trends may signal future price movements.

Metaverse Tokens: What Cost Basis Distribution Data Reveals

In this analysis, we focus on Metaverse tokens - The Sandbox (SAND), Decentraland (MANA), and Axie Infinity (AXS) - which were among the most prominent assets during the Metaverse boom of 2021. While the hype surrounding virtual worlds has faded, we shift our focus away from user activity and instead examine investor behavior using Cost Basis Distribution (CBD) data.

Rather than evaluating adoption metrics or in-game activity, we analyze how token holders have adjusted their positions over time. Are they capitulating, holding steady, or accumulating at lower prices? By tracking supply shifts at different price levels, we gain insights into how investor conviction has evolved in this post-hype phase and whether accumulation trends hint at long-term confidence in these projects.

The Sandbox (SAND): Steady Accumulation in a Bear Market

Despite price volatility, on-chain data shows continued accumulation. Holders with strong conviction are steadily increasing their positions, reinforcing their belief in the project's long-term potential.

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Key Insight: Accumulation persists across key price levels, suggesting confidence despite bearish conditions.
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CBD shows SAND investors remained engaged throughout long-term investment horizons
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View Cost Basis Distribution Data for SAND across multiple timeframes in Glassnode Studio.

Decentraland (MANA): Buying the Dip

A significant supply concentration has formed around $0.60, reflecting increased buying activity following a price drop. This suggests that investors are viewing lower prices as buying opportunities, rather than signs of further decline.

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Key Insight: Market participants are actively accumulating at perceived value zones.
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Notice supply concentration at around $0.6 increasing in Feb 2025 despite the price drop
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View Cost Basis Distribution Data for MANA across multiple timeframes in Glassnode Studio.

Axie Infinity (AXS): Long-Term Conviction Remains

Despite a sustained downtrend, on-chain data shows a progressive build-up of large positions. This pattern suggests that certain investors remain highly confident in the future of Axie Infinity.

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Key Insight: Persistent accumulation hints at long-term belief in the project’s fundamentals.
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Notice consistent accumulation over the past two years showing low sensitivity to price action
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View Cost Basis Distribution Data for AXS across multiple timeframes in Glassnode Studio.

Is Metaverse Resurgence Ahead?

The speculative hype around the Metaverse may have faded, but on-chain activity suggests otherwise. The continued accumulation across major Metaverse tokens indicates that many investors see these projects as undervalued opportunities rather than failures.

Is this setting the stage for a future recovery? While price action remains uncertain, the data suggests that conviction remains strong among key market participants - and they are positioning accordingly.

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**Summary:** The article argues that ordinary investors feeling FOMO over missing the AI investment boom lack not timing, but their own independent worldview. Most people chase "what to buy" based on others' opinions (FOMO, envy) rather than fundamental analysis. This leads to costly mistakes: not knowing when to exit winning trades or cut losses on losing ones. The core solution is to develop a personal, long-term (5-10 year) worldview about societal shifts and technological bottlenecks. For most, building this from scratch (Path A) is too demanding. A practical alternative (Path B) is to follow the **capital expenditures (capex)** and strategic investments of visionary leaders, as their money reveals true conviction more reliably than their words. Five key figures to track for different AI perspectives are highlighted: Jensen Huang (NVIDIA, infrastructure), Elon Musk (Tesla/SpaceX/xAI, capex signals), Sam Altman (OpenAI, commercialization, but beware hype), Dario Amodei (Anthropic, technical/safety focus), and Liang Wenfeng (DeepSeek, efficiency/anti-consensus view). The article details how to read capex signals from hyperscalers' financial reports, NVIDIA's revenue breakdown, and strategic investments. It maps the complete AI产业链 (supply chain) from raw materials/energy to models/applications, explaining value flow and inter-dependencies (e.g., how a model release triggers demand across chips, memory, and optics). Finally, it provides an action plan: secure personal finances first, allocate a limited portfolio percentage (max 25%) to the theme, prefer broad ETFs (like QQQ), use dollar-cost averaging over 6-12 months, and write down strict investment rules beforehand to combat emotional errors during market volatility. The conclusion is that a stable, personally-held worldview enables disciplined, long-term investment far more than chasing short-term trends.

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Microsoft has halted the widespread internal use of Claude Code, withdrawing licenses from most employees by the end of its fiscal year, June 30, 2026. This reversal comes just six months after actively promoting the AI coding tool to boost productivity via "vibe coding"—where developers describe intent in natural language and let the LLM generate code. The core issue isn't the tool's effectiveness; internal reports suggest employees preferred Claude Code over Microsoft's own Copilot CLI. The problem is financial: the "copilot mode" adds a variable, consumption-based token cost on top of existing employee salaries without a proportional revenue increase. As usage grew, the token bills became unsustainable, leading to what sources describe as a cost-structure failure. Similar overruns have been reported at other firms like Uber. The article contrasts this with the approach of AI-native startups, exemplified by Y Combinator's philosophy. Here, high token consumption is strategic—it replaces, rather than supplements, human labor. Startups operate with tiny teams where AI agents handle work previously done by many, making the high token bill financially viable as it offsets much larger personnel costs. The conclusion is that "vibe coding" isn't dead, but its economics fail within traditional corporate structures that treat AI as a productivity add-on for existing staff. Success requires a foundational shift to an AI-native organization, where processes are built to be "legible to AI," and the company's core knowledge and assets reside in documented, AI-accessible systems rather than solely in employees' minds. The future divide will be between companies that merely add AI tools and those that redesign their organizations around them.

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In the past month, the market has been actively trading contrasting expectations, balancing global supply chain disruptions fueling re-inflation against both actual and anticipated (Walsh) interest rate hikes. This volatility has impacted commodities and most equities, though tech has temporarily benefited from concentrated short-term liquidity. Fundamentally, as previously analyzed regarding the Strait of Hormuz situation, the US faces deep-seated balance sheet issues beyond what any single Fed chair can resolve. Hypotheses around a figure like Walsh could only materialize if AI fundamentally reshapes production relations. Until then, most non-AI-leading nations (effectively all except the US and China) risk fiscal and monetary policy collapse, rendering the identity of the Fed chair ultimately irrelevant. For crypto assets, there is currently no clear role in these dominant narratives. The market remains strongly capped by the 200-day moving average. While trends may shift from "anything but AI" to "anything but mines," this phase is dominated by the silicon vs. carbon (AI vs. traditional) dichotomy, leaving little room for crypto—though its time will come. **Market Overview & Commentary** The crypto market lacks significant catalysts beyond hype, plagued by low volume and scarce innovation, with clear technical resistance. Currently, crypto struggles for attention as global focus lies elsewhere. Assets like gold, oil, and grains are more direct hedges against supply-chain-driven inflation/stagflation. Bitcoin needs more time for capitulation and consolidation; this reset is expected to last until at least Q4 2026. Looking ahead, three factors will likely drive future market volatility: 1. Whether Walsh repeats the patterns of predecessors like Bassant or Musk, shifting stance into a new policy cycle. 2. The market underestimates the severity of global supply chain damage and the prolonged time needed for repair, which will eventually lead to recognition of acute resource shortages and price swings. 3. AI non-beneficiary, high-inflation nations (e.g., UK, Japan) will face severe fiscal and monetary crises. Rapid AI-driven displacement could trigger a collapse of existing credit and welfare systems. Ultimately, the market may realize that an AI bubble burst could spark contagious sovereign credit crises. The monetary and fiscal responses to such a scenario could serve as the ultimate catalyst for Bitcoin's next major bull run.

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The largest IPO in history is imminent as SpaceX, led by Elon Musk, is set to price its offering on June 12. At a targeted valuation near $2 trillion, this event will mint new billionaires from Musk's inner circle of long-time allies, rewarding their loyalty with unprecedented returns. Key beneficiaries include Antonio Gracias, Musk's close friend and confidant, who holds a 7.3% stake potentially worth over $140 billion, making him the second-largest individual shareholder. Gwynne Shotwell, President and COO since 2002, holds shares valued at roughly $2 billion. Bret Johnsen, the CFO, holds stock worth approximately $1.4 billion. Luke Nosek, a PayPal co-founder and early investor, stands to gain about $5.3 billion. The IPO filing also reveals complex and controversial financial arrangements. SpaceX has guaranteed nearly $20 billion in payments from xAI's subsidiary to Gracias's Valor Equity Partners for AI hardware leases—deals auditors flagged as "failed sale-leaseback" transactions, forcing SpaceX to record them as debt. Despite rapid revenue growth, SpaceX is not profitable, posting a $49 billion loss in 2025 and a $4.3 billion loss in Q1 2026. Capital expenditures are soaring, with over 60% directed toward AI. Public investors will inherit these losses, significant debts, and a governance structure heavily controlled by insiders, including a provision granting Musk up to a billion additional shares if one million people live on Mars.

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